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Data warehouse

Connect BigQuery to any app with two-way sync.

Two-way sync BigQuery across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes
Setup guide: how Stacksync connects to BigQuery

Adopted by fast-scaling companies moving mission-critical data in real time

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Object catalog

What Stacksync syncs in BigQuery.

These objects sync between BigQuery and any connected system, with field-level mapping and conflict resolution. Custom fields are picked up from the live schema where BigQuery exposes them.

Tables
The syncable unit: only tables can be synced per the Stacksync docs.
Partitioned tables
Synced like regular tables; partition columns map to target fields.
Clustered tables
Supported; clustering is transparent to the sync.
Datasets
Organizational container — you pick which dataset’s tables to sync.
Projects
Connection scope: the service account grants access per project.
API surface

How Stacksync connects to BigQuery.

The connector runs on BigQuery's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.

Connection
GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs
Authentication
Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver
Change detection
Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in
Rate limits
Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes

Sync directions

  • Read Supported
  • Write Supported
  • Change data capture Supported
  • Webhooks Not available
BigQuery connector documentation
What ships with BigQuery

Connect BigQuery for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every connection.

Real-time

Two-way sync

Changes in BigQuery instantly reflect across connected systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single BigQuery record.

Observability

Monitoring

Track your BigQuery sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions.

Use cases

What teams run on the BigQuery connector.

Google positions BigQuery as a serverless enterprise data warehouse and AI data platform for data engineering, analytics engineering, and BI teams. It sits downstream of operational systems as the analytical store of record - modeled Datasets and large partitioned and clustered tables that reporting and ML depend on - and increasingly upstream too, as marketing ops teams activate warehouse-built segments and scores back into operational tools.

  • Data engineering
  • Analytics engineering
  • BI teams
  • Marketing ops

  1. Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs

  2. Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools

  3. Sync product analytics aggregates from BigQuery into operational Postgres or MySQL databases that apps can read

  4. Maintain a customer master table in BigQuery joined across CRM, billing, and support sources

  5. Feed ML feature tables in BigQuery from operational systems on a continuous schedule

  6. Push warehouse-modeled Tables - account scores and computed segments - from BigQuery Datasets into a CRM so go-to-market teams act on warehouse data.

All BigQuery integrations

Pick the system you need to keep in sync with BigQuery. Each page covers the sync setup, field mapping, and common workflows for that pair.

CRM · 46

ERP · 39

Database · 50

Data warehouse · 28

Business productivity · 40

Accounting and finance · 17

How it works

Set up BigQuery in minutes, without APIs.

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate BigQuery with its native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    BigQuery connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the BigQuery objects to sync — Stacksync auto-detects the schema, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · BigQuery
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    BigQuery database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

BigQuery connector FAQ

What can I sync with the BigQuery connector?

BigQuery's core objects — Tables, Partitioned tables, Clustered tables, Datasets and custom fields — can sync with any of 302 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.

How does Stacksync connect to BigQuery?

Via GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs, authenticated with Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver. Changes are detected as follows — real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in. Stacksync manages rate limits, retries, and schema changes automatically.

Is the BigQuery connector two-way?

Yes. Changes made in BigQuery propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.

How long does a BigQuery integration take to set up?

Most BigQuery integrations go live in minutes: authenticate BigQuery and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.

Is BigQuery data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. BigQuery data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more
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